Nobel Laureate Geoffrey Hinton Urges UN to Apply Brakes to Runaway AI Development

# Nobel Laureate Geoffrey Hinton Urges UN to Apply Brakes to Runaway AI Development

Geoffrey Hinton, the Nobel Prize-winning computer scientist widely known as the "godfather of AI," delivered a stark warning to the international community on Tuesday, insisting that the world must impose strict regulation on artificial intelligence before the technology outpaces humanity's ability to control it. Speaking via video link at the Digital World Conference (DWC): AI for Social Development in Geneva — co-organized by the UN Research Institute for Social Development (UNRISD) — Hinton argued that unregulated AI is not merely risky, but existentially dangerous.

"If you ever went out with a car that had no brake, boy, you are in trouble if you go down a hill," Hinton told delegates. "But you're in even more trouble if there's no steering wheel."

The metaphor was aimed directly at technology companies and their lobbying apparatus. Hinton warned that huge investments were going into convincing the public that regulating AI was akin to slowing down progress. Those opposed to regulation frame it as a simple trade-off, he said: "Unregulated AI is like the accelerator, and regulation is like a brake." But Hinton rejected the framing outright. "They want a very fast car with no steering wheel," he said, making clear that regulation is not about slowing AI down but about ensuring it can be directed at all.

The day-long conference, convened by UNRISD and the World Digital Technology Academy, brought together policymakers, academics, and civil society leaders to examine AI's growing role in social protection, labour markets, education, and the green energy transition. Participants raised concerns that global debates on AI remain largely driven by technical advances and commercial applications, with far less focus on social impacts including inequality and the erosion of public services.

From Nobel Prize to Public Warning

Hinton's trajectory from celebrated researcher to public conscience of the AI field has few parallels in the history of technology. A British-Canadian computer scientist, he spent decades developing the foundational neural network techniques that underpin modern AI — work that earned him the 2024 Nobel Prize in Physics. He held joint appointments at the University of Toronto and Google, where he helped advance deep learning at scale. But in May 2023, Hinton resigned from Google specifically to speak freely about what he described as the existential risks posed by the technology he helped create. Since then, he has become one of the most prominent and credible voices urging caution.

At the Geneva conference, Hinton went further than his usual warnings about superintelligence, addressing the near-term economic disruption that AI is already beginning to cause. He warned bluntly about the impact AI will have on job losses. The technology can certainly improve productivity in areas like health care, where there is always a need for more capacity, he acknowledged. But in other sectors, like call centres, AI can already do the jobs as well as people and soon will do it better, he said, adding that it was clear no amount of retraining will counter that.

He also expressed deep uncertainty about whether humanity could co-exist with superintelligent AI at all — a concern that elevates his warnings beyond the typical policy discussion about bias, misinformation, and job displacement into territory that many governments are still reluctant to engage with publicly.

A Busy Week for AI Governance

Hinton's remarks landed during one of the most concentrated stretches of international AI policymaking in recent memory. The same week, the UN's Independent International Scientific Panel on AI convened its first in-person meeting in Madrid, co-chaired by Nobel Peace Prize laureate and journalist Maria Ressa and Canadian computer scientist Yoshua Bengio. Ressa warned that increasingly powerful AI tools are accelerating "narrative warfare" in which falsehoods are manufactured and amplified at scale, weakening institutions such as the media and courts.

The Scientific Panel's findings will feed into the UN's Global Dialogue on Artificial Intelligence Governance, scheduled for July in Geneva, which will bring together all 193 United Nations Member States alongside the private sector, civil society, and academia.

The scale of what is at stake is difficult to overstate. According to UNCTAD's Technology and Innovation Report 2025, the global AI market is projected to grow from $189 billion in 2023 to $4.8 trillion by 2033 — an economy larger than Japan's, built in a single decade. Yet the capacity to build and shape AI remains concentrated in a handful of economies and firms. ITU Secretary-General Doreen Bogdan-Martin pointed out that generative AI adoption in the industrialized Global North is growing nearly twice as fast as in the developing Global South. "Left unaddressed, this is a second great divergence — widening the gap between countries shaping artificial intelligence and those merely consuming it," she said.

Amandeep Gill, UN Special Envoy for Digital and Emerging Technologies, framed the broader ambition. "The policy conversation will be science and evidence-based, pooled perspectives, scientific perspectives from a multidisciplinary lens from across the world," he said. "This is how policy discussions should be, and the UN is very proud to facilitate this first ever such confluence of science and policy in a fast-paced emerging technology."

Why This Matters

Hinton's warnings carry unique weight because he is not an outsider critic — he is arguably the single most important architect of the technology he is now asking the world to restrain. When the person who built the engine says the car needs a steering wheel, the argument for inaction becomes considerably harder to maintain. The question is whether governments and international bodies can translate that credibility into binding governance before the $4.8 trillion market creates its own irreversible momentum.

What to Watch Next

The UN's Global Dialogue on AI Governance in July will be the next major test of whether Hinton's call for steering — not just braking — gains traction among the 193 Member States. The Scientific Panel's initial findings, expected ahead of that meeting, will set the evidentiary foundation. Meanwhile, the gap between the pace of AI deployment and the pace of governance continues to widen — exactly the dynamic Hinton warned about from his video link in Geneva.